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Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
Verswijveren, Simone J. J. M. Lamb, Karen E. Martín-Fernández, Josep A. Winkler, Elizabeth Leech, Rebecca M. Timperio, Anna Salmon, Jo Daly, Robin M. Cerin, Ester Dunstan, David W.
Verswijveren, Simone J. J. M.
Lamb, Karen E.
Martín-Fernández, Josep A.
Winkler, Elizabeth
Leech, Rebecca M.
Timperio, Anna
Salmon, Jo
Daly, Robin M.
Cerin, Ester
Dunstan, David W.
Abstract
Purpose
The study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers.
Methods
Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7–13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and “other time”, and cardiometabolic biomarkers.
Results
Confounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and “other time”, more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference.
Conclusion
Accumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.
Keywords
accumulation patterns, cardiometabolic health, children, compositional data analysis, time-use
Date
2021
Type
Journal article
Journal
Journal of Sport and Health Science
Book
Volume
11
Issue
2
Page Range
234-243
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY-NC-ND 4.0
File Access
Open